Euler deconvolution is a popular method to estimate the source position, but a discrimination technique is needed to distinguish reliable solutions because of the influence of noise and other factors. We have developed a new method that reduces the number of spurious solutions in Euler deconvolution. Our method, called Angle Variation Selection Method, employs the movement rate of Euler solutions and the variation of the angle between the sliding direction of the moving-data window and the directed line from window center to Euler solution to select reliable solutions. Specifically, in the sliding direction of the moving-data window, if the Euler solutions move slower than the moving-data windows, the coordinates of the moving-data window center and the corresponding solutions will be saved. And then saving the solutions satisfy the criterion that the angle changes from acute angle to obtuse angle. The results from the model and measured data show that our method can be conducted easily and effectively reduce the number of spurious solutions.


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